GPT and Hypertension: Based on clinical relevance, the multivariate logistic regression model incorporated the following variables: demographic characteristics (age, sex), metabolic parameters (diabetes, hypertension, uric acid, creatinine, homocysteine), hematologic indices (hemoglobin, white blood cell count, platelet count), hepatic function marker (alanine aminotransferase), lipid profiles (TG, TC, LDL-C), and echocardiographic parameters (LVESD, LVEDD and LVEF).